Data Science
Beginner to Mastery
Integrates theory with practical applications for effective learning.
Offers flexible learning formats to accommodate different schedules.
Provides access to industry tools and resources.
Focuses on both technical skills and business acumen.
Group Enrollment with Friends or Colleagues
375 Hours
16 Sept 2025
Live. Online. Interactive.
Facilitates networking opportunities with professionals and peers.
Includes real-time feedback and support from experienced instructors.
Prepares for a range of roles in data science with business intelligence.
Provides hands-on experience through industry projects and case studies for practical learning.
Learn from experienced instructors who bring real-world insights and practical knowledge to the program.
Benefit from flexible learning formats that cater to different schedules and learning preferences, including online and in-person options.
Earn a certification upon completion that validates your skills and knowledge, enhancing your professional credentials.
Improve your earning potential with specialized skills in data science and business intelligence, fields known for lucrative opportunities.
16 Sept 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This Program provides a practical curriculum tailored to impart necessary skills in data analysis and visualization among-st the professionals. The program covers the fundamentals of data science and provides hands-on experience with Python for data manipulation and analysis. The ways to interpret and decide the data is very vast hence learn advanced statistical techniques for this. The learners will get hands-on experience in machine learning and deep learning for predictive modeling. It teaches how to manage data through database management, creating visualizations it covers from Power BI and Tableau to working advanced visualization Tables on these Tools. In the end, our comprehensive approach helps students tie it all together so they can apply data-informed insights meaningfully, and make strategic business decisions.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →This Program is to impart participants with insights into data analysis, interpretation and visualization for effective decision-making. As part of this course, you will learn some basics as well as sophisticated tools like Python programming, Data Analysis with Statistics and Machine Learning & Deep Learning for both beginners to advanced level. The diversification in the subjects ranges from SQL & Data Visualization softwares such as Tableau, and Power BI etc,. Graduates of the program will learn how to leverage data-driven insights, advanced analytical methods and compelling visualizations that drive strategic business decisions.
Enroll Now →Data science and business intelligence are among the most sought-after skills in today’s job market, offering vast career opportunities across various industries.
Learn to harness the power of data to drive strategic decisions, improving business outcomes and competitiveness.
Gain proficiency in a range of essential tools and techniques, including Python, SQL, machine learning, deep learning, Tableau, and Power BI, making you a versatile professional.
Develop advanced analytical skills to interpret complex data sets, identify patterns, and make predictions, enabling more effective problem-solving.
Gain the ability to translate complex data insights into actionable business strategies, bridging the gap between technical teams and decision-makers.
As organizations increasingly adopt AI and data-driven solutions, these skills ensure long-term relevance and stability in a rapidly evolving job market.
This course equips you with the expertise to pursue roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and more, with potential for career advancement.
Engage in hands-on projects and real-world case studies, ensuring that you can apply what you learn directly to your professional environment.
Covers the entire data science and business intelligence pipeline, from data collection and analysis to visualization and strategic decision-making.
Gain in-depth knowledge of Python, the leading programming language for data science, allowing you to perform data manipulation, analysis, and automation efficiently.
Build a solid understanding of statistics, enabling you to make data-driven decisions and apply advanced statistical methods in real-world scenarios.
Learn cutting-edge techniques in machine learning and deep learning to build predictive models and AI-driven solutions.
Develop robust SQL skills, essential for querying and managing large datasets, ensuring you can handle data efficiently in any database environment.
Master Tableau and Power BI to create dynamic and interactive data visualizations, making complex data insights accessible and actionable.
Min
$95,000
Average
$120,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Gather and preprocess data from various sources to ensure accuracy and completeness for analysis.
Analyze large datasets using statistical methods and analytical tools to extract meaningful insights and trends.
Design, build, and validate machine learning and statistical models to address business problems and forecast outcomes.
Create and maintain visualizations and dashboards using tools like Tableau and Power BI to present data insights clearly and effectively.
Generate and deliver reports summarizing findings, recommendations, and actionable insights to stakeholders and decision-makers.
Work closely with cross-functional teams, including business units, IT departments, and management, to understand their data needs and provide solutions.
Utilize and manage tools and technologies related to data science, such as Python, SQL, and data visualization software.
Apply analytical skills to solve complex business problems, offering data-driven recommendations and solutions.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A | COMPETITOR B |
---|---|---|---|
Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
Advanced Tools | GPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
Real-World Applications | Emphasis on real-world problem-solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |